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University of Ontario Institute of Technology

Analysis and feasibility of an evaporative cooling system with sessile droplet evaporation to provide cooling for microprocessors

Abstract

dc:description.abstract

The study investigates the cooling requirements for the Intel Xenon Processor and the Intel Core i7-900 Processor using diffusion based evaporation of sessile droplets. An analytical model is developed to determine the capacity of a single layer of droplets to provide sufficient cooling. It is found that a single layer can provide sufficient cooling for the processors with tiny droplets. A numerical model is developed to analyze a tiered system that fits within the space restrictions corresponding to the current heat sinks with larger droplets and fewer of them. The results of the numerical modelling work found that a minimum of 41 posts connecting each of the tiers were required to cool the Xenon Processor and 42 posts for the Core i7-900 Processor. It was also found that a minimum of 3 tiers were required for the Xenon Processor, with a droplet radius of 2 mm, and 4 tiers for the Core i7.

Degree

thesis:*
Name thesis:degree_name
Master of Applied Science (MASc)
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chakraborty, Soma
Advisors dc:contributor.advisor
  • MacDonald, Brendan D.
  • Rosen, Marc A.

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/775
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/775

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Chakraborty, Soma. Analysis and feasibility of an evaporative cooling system with sessile droplet evaporation to provide cooling for microprocessors. University of Ontario Institute of Technology, 2017. https://hdl.handle.net/10155/775